Marker-assisted selection and genomic selection
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Capítulo de livro |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-319-57433-2_14 http://hdl.handle.net/11449/232682 |
Resumo: | Breeding techniques and molecular tools, i.e., biotechnology, have increased crop yield over the last century. Marker-assisted selection and, more recently, genome-wide association studies and genomic selection have been used as tools of breeding programs, especially in the resistant genotype selection. The genomic association study refers to significant associations between a loci and an interesting trait. Genomic selection is based on the effects of single nucleotide polymorphism (SNP) markers distributed throughout the genome, where the number of markers must be sufficiently high so all quantitative trait loci are in linkage disequilibrium with at least one marker. Thousands of markers distributed throughout the genome at reduced costs, as well as the easy access to biotechnologies, are the main way of aggregating these techniques in breeding programs. Several studies have shown that genomic selection is highly effective for improving crop yield. This tool increases the genetic gain of improved populations by increasing selection accuracy and, mainly, by reducing the generation intervals. |
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Marker-assisted selection and genomic selectionGenome-wide association studyGlycine maxSNPBreeding techniques and molecular tools, i.e., biotechnology, have increased crop yield over the last century. Marker-assisted selection and, more recently, genome-wide association studies and genomic selection have been used as tools of breeding programs, especially in the resistant genotype selection. The genomic association study refers to significant associations between a loci and an interesting trait. Genomic selection is based on the effects of single nucleotide polymorphism (SNP) markers distributed throughout the genome, where the number of markers must be sufficiently high so all quantitative trait loci are in linkage disequilibrium with at least one marker. Thousands of markers distributed throughout the genome at reduced costs, as well as the easy access to biotechnologies, are the main way of aggregating these techniques in breeding programs. Several studies have shown that genomic selection is highly effective for improving crop yield. This tool increases the genetic gain of improved populations by increasing selection accuracy and, mainly, by reducing the generation intervals.Universidade Estadual PaulistaUniversidade Estadual PaulistaUniversidade Estadual Paulista (UNESP)Unêda-Trevisoli, Sandra Helena [UNESP]da Silva, Fabiana Mota [UNESP]Mauro, Antonio Orlando Di [UNESP]2022-04-30T04:08:45Z2022-04-30T04:08:45Z2017-06-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart275-291http://dx.doi.org/10.1007/978-3-319-57433-2_14Soybean Breeding, p. 275-291.http://hdl.handle.net/11449/23268210.1007/978-3-319-57433-2_142-s2.0-85034083158Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSoybean Breedinginfo:eu-repo/semantics/openAccess2022-04-30T04:08:45Zoai:repositorio.unesp.br:11449/232682Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-30T04:08:45Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Marker-assisted selection and genomic selection |
title |
Marker-assisted selection and genomic selection |
spellingShingle |
Marker-assisted selection and genomic selection Unêda-Trevisoli, Sandra Helena [UNESP] Genome-wide association study Glycine max SNP |
title_short |
Marker-assisted selection and genomic selection |
title_full |
Marker-assisted selection and genomic selection |
title_fullStr |
Marker-assisted selection and genomic selection |
title_full_unstemmed |
Marker-assisted selection and genomic selection |
title_sort |
Marker-assisted selection and genomic selection |
author |
Unêda-Trevisoli, Sandra Helena [UNESP] |
author_facet |
Unêda-Trevisoli, Sandra Helena [UNESP] da Silva, Fabiana Mota [UNESP] Mauro, Antonio Orlando Di [UNESP] |
author_role |
author |
author2 |
da Silva, Fabiana Mota [UNESP] Mauro, Antonio Orlando Di [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Unêda-Trevisoli, Sandra Helena [UNESP] da Silva, Fabiana Mota [UNESP] Mauro, Antonio Orlando Di [UNESP] |
dc.subject.por.fl_str_mv |
Genome-wide association study Glycine max SNP |
topic |
Genome-wide association study Glycine max SNP |
description |
Breeding techniques and molecular tools, i.e., biotechnology, have increased crop yield over the last century. Marker-assisted selection and, more recently, genome-wide association studies and genomic selection have been used as tools of breeding programs, especially in the resistant genotype selection. The genomic association study refers to significant associations between a loci and an interesting trait. Genomic selection is based on the effects of single nucleotide polymorphism (SNP) markers distributed throughout the genome, where the number of markers must be sufficiently high so all quantitative trait loci are in linkage disequilibrium with at least one marker. Thousands of markers distributed throughout the genome at reduced costs, as well as the easy access to biotechnologies, are the main way of aggregating these techniques in breeding programs. Several studies have shown that genomic selection is highly effective for improving crop yield. This tool increases the genetic gain of improved populations by increasing selection accuracy and, mainly, by reducing the generation intervals. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-10 2022-04-30T04:08:45Z 2022-04-30T04:08:45Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bookPart |
format |
bookPart |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-319-57433-2_14 Soybean Breeding, p. 275-291. http://hdl.handle.net/11449/232682 10.1007/978-3-319-57433-2_14 2-s2.0-85034083158 |
url |
http://dx.doi.org/10.1007/978-3-319-57433-2_14 http://hdl.handle.net/11449/232682 |
identifier_str_mv |
Soybean Breeding, p. 275-291. 10.1007/978-3-319-57433-2_14 2-s2.0-85034083158 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Soybean Breeding |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
275-291 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965302305325056 |